Scheduled Commit

data/clustering_battle-5b78c89f-244c-4bc4-9693-2c3c7acb6977.jsonl

@@ -1,3 +1,5 @@
 {"tstamp": 1723102070.8179, "task_type": "clustering", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "87b468e0cb7f43da86fe40c1fe4af5d7", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": ["focaccia", "pumpernickel", "rye", "sourdough", "ciabatta", "beam", "cantilever", "suspension", "cable-stayed", "arch", "truss", "wind", "hydroelectric", "biomass", "geothermal", "solar", "tidal"], "0_ncluster": 3, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "8070b17cad7047f3bc8f9e025100f286", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": ["focaccia", "pumpernickel", "rye", "sourdough", "ciabatta", "beam", "cantilever", "suspension", "cable-stayed", "arch", "truss", "wind", "hydroelectric", "biomass", "geothermal", "solar", "tidal"], "1_ncluster": 3, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
 {"tstamp": 1723102117.9081, "task_type": "clustering", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "8b25c5b47c67481d95ce75a8e08a7228", "0_model_name": "GritLM/GritLM-7B", "0_prompt": ["dairy", "crop", "livestock", "poultry", "mixed", "haiku", "ode", "sonnet", "ballad", "winter", "fall", "Subway", "Burger King", "McDonald's", "Pizza Hut", "KFC", "Taco Bell"], "0_ncluster": 4, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "010c8e7820b14742a4b72655cbcbafec", "1_model_name": "text-embedding-004", "1_prompt": ["dairy", "crop", "livestock", "poultry", "mixed", "haiku", "ode", "sonnet", "ballad", "winter", "fall", "Subway", "Burger King", "McDonald's", "Pizza Hut", "KFC", "Taco Bell"], "1_ncluster": 4, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
 {"tstamp": 1723134893.9338, "task_type": "clustering", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "3e3c8125c1a74295b1f2003dfcd3e96b", "0_model_name": "voyage-multilingual-2", "0_prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "0_ncluster": 4, "0_output": "", "0_ndim": "3D (press for 2D)", "0_dim_method": "PCA", "0_clustering_method": "KMeans", "1_conv_id": "a3d7637cfbcc4a82a6cb2152046b5196", "1_model_name": "text-embedding-3-large", "1_prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "1_ncluster": 4, "1_output": "", "1_ndim": "3D (press for 2D)", "1_dim_method": "PCA", "1_clustering_method": "KMeans"}
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data/clustering_individual-5b78c89f-244c-4bc4-9693-2c3c7acb6977.jsonl

@@ -14,3 +14,15 @@
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 {"tstamp": 1723134862.2663, "task_type": "clustering", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723134861.6761, "finish": 1723134862.2663, "ip": "", "conv_id": "3e3c8125c1a74295b1f2003dfcd3e96b", "model_name": "voyage-multilingual-2", "prompt": ["Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+{"tstamp": 1723136625.6094, "task_type": "clustering", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723136624.8038, "finish": 1723136625.6094, "ip": "", "conv_id": "1c1052a5ec384c96b1fc1124493d1c64", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": ["plateau", "dome", "volcanic", "fold", "Atlantic", "Arctic", "Indian", "Pacific", "spaghetti", "penne", "crayon", "marker", "fountain pen", "pencil", "chalk", "quill"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1723136631.555, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723136630.7309, "finish": 1723136631.555, "ip": "", "conv_id": "499ab13111f741b4a357a41f5e65721a", "model_name": "text-embedding-3-large", "prompt": ["plateau", "dome", "volcanic", "fold", "Atlantic", "Arctic", "Indian", "Pacific", "spaghetti", "penne", "crayon", "marker", "fountain pen", "pencil", "chalk", "quill"], "ncluster": 4, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+{"tstamp": 1723136646.7762, "task_type": "clustering", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1723136646.6878, "finish": 1723136646.7762, "ip": "", "conv_id": "bb379d96914343c2a00a11704e47b970", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": ["fascism", "conservatism", "Google", "Xiaomi"], "ncluster": 2, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1723136646.7762, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723136646.6878, "finish": 1723136646.7762, "ip": "", "conv_id": "21171aec81e9424685d6c604683760ff", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["fascism", "conservatism", "Google", "Xiaomi"], "ncluster": 2, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1723136658.5861, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723136657.1185, "finish": 1723136658.5861, "ip": "", "conv_id": "1b178d077fdc430684b789a84ebacd0a", "model_name": "text-embedding-3-large", "prompt": ["Indian", "Pacific", "Southern", "Arctic", "Atlantic", "rooibos", "pu-erh", "chalk", "fountain pen", "cirrus", "nimbus", "altostratus", "cumulus", "stratus", "flute", "drums"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1723136658.5861, "task_type": "clustering", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723136657.1185, "finish": 1723136658.5861, "ip": "", "conv_id": "d185a0b148bd4a59b40c2774e66ec18e", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": ["Indian", "Pacific", "Southern", "Arctic", "Atlantic", "rooibos", "pu-erh", "chalk", "fountain pen", "cirrus", "nimbus", "altostratus", "cumulus", "stratus", "flute", "drums"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1723136702.942, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723136702.867, "finish": 1723136702.942, "ip": "", "conv_id": "4feaf1ee0a274ac8a85968a2361f8e54", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["ciabatta", "brioche", "baguette", "literature", "biology", "chemistry", "history", "physics"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1723136702.942, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723136702.867, "finish": 1723136702.942, "ip": "", "conv_id": "0bd549df73be4ad68095e81f687bf038", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["ciabatta", "brioche", "baguette", "literature", "biology", "chemistry", "history", "physics"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}

data/retrieval_individual-5b78c89f-244c-4bc4-9693-2c3c7acb6977.jsonl

@@ -252,3 +252,5 @@
 {"tstamp": 1723133579.5214, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723133577.2962, "finish": 1723133579.5214, "ip": "", "conv_id": "b8ebbe1bec1c4191a3ff25320b996f42", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "можно ли взять несколько сумок в качестве ручной клади в самолет?", "output": [["можно ли взять несколько сумок в качестве ручной клади в самолет?", "Night on Bald Mountain\n\nНи один из видов этих не годился для издания и исполнения.Я решился создать из материала Мусоргского инструментальную пьесу, сохранив в ней все, что было лучшего и связного у автора, и добавляя своего по возможности менее. Надо было создать форму, в которую уложились бы наилучшим способом мысли Мусоргского. Задача была трудная, удовлетворительно разрешить которую мне не удавалось в течение двух лет, между тем как с другими сочинениями Мусоргского я справился сравнительно легко. Не давались мне ни форма, ни модуляции, ни оркестровка, и пьеса лежала без движения до следующего года.»\nRimsky-Korsakov made \"corrections\" typical of him, as he did with Khovanshchina, and was later to do with Boris Godunov, preserving the general thematic structure, but adding or omitting bars, and making modifications to melody, harmony, rhythm, and dynamics. Performance history\nRimsky-Korsakov's edition was completed in 1886, and published in the same year by V. Bessel and Co. It received its premiere on 15 October 1886 in St. Petersburg's Kononov Hall, performed by the orchestra of the Russian Symphony Concerts. "]], "corpus": "wikipedia"}
 {"tstamp": 1723136554.0101, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723136553.429, "finish": 1723136554.0101, "ip": "", "conv_id": "f7b2aab0b6c541028b17d18a4b6932e7", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "when did lionel messi play his first game for barcelona", "output": [["when did lionel messi play his first game for barcelona", "Messi (disambiguation)\n\nLionel Messi (born 1987) is an Argentine footballer.\nMessi may also refer to:\nPeople\nMessi Bouli (born 1992), Cameroonian footballer\nGeorges Messi (born 1980), Cameroonian footballer\nJoaquín Messi (born 2002), Argentine footballer\nStéphane Messi (born 1972), French table tennis player\nMessi (Brazilian footballer), Jamerson Michel da Costa (born 1985), Brazilian footballer\nOthers\nJaunde-Texte von Karl Atangana und Paul Messi, a 1919 book by Charles Atangana and Paul Messi\nMessi (2014 film), a documentary about Lionel Messi\nMessi (2017 film), an Indian Bengali-language football drama film\nMessi (cougar), a domesticated cougar living with a Russian couple\nMessi (dog), a French Border Collie Dog actor\n\"Messi\", a 2016 song by English rapper Dappy\nMessi and Maud, also known as La Holandesa, 2017 Dutch film"]], "corpus": "wikipedia"}
 {"tstamp": 1723136554.0101, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723136553.429, "finish": 1723136554.0101, "ip": "", "conv_id": "5afd8acf0e8d4b4fa3937efc9a8db8d8", "model_name": "text-embedding-3-large", "prompt": "when did lionel messi play his first game for barcelona", "output": [["when did lionel messi play his first game for barcelona", "Lionel Messi\n\nBarcelona At the age of 16 years, four months, and 23 days old, Messi made his first-team debut as a 75th-minute substitute during a friendly against Porto on 16 November 2003. Under Frank Rijkaard, who promoted him to the first team in October 2004, he made his league debut on 16 October 2004 against Espanyol, and scored his first senior goal on 1 May 2005 against Albacete, from an assist by Ronaldinho, becoming at that time the youngest-ever scorer for the club. At 17 years, three months, and 22 days old, he was at the time the youngest player to represent Barcelona in an official competition. Messi won the league title in the 2004–05, and 2005–06 season. He won his first Champions League trophy in the 2006 final, although he was ruled out injured. On 10 March 2007, Messi scored his first hat-trick in a Clásico, the first player to do so in 12 years, equalising after each goal by Real Madrid to end the match in a 3–3 draw in injury time. In Rijkaard's final years at the club, Barcelona finished the 2006–07, and 2007–08 season without trophies, leading to his departure. Messi was given the number 10 shirt for the 2008–09 season. During that season, Messi, alongside Samuel Eto'o and Thierry Henry, contributed to a total of 100 goals in all competitions, a record at the time for the club."]], "corpus": "wikipedia"}
+{"tstamp": 1723136579.0804, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723136578.5885, "finish": 1723136579.0804, "ip": "", "conv_id": "1980d27b56514a32bfcb7d29cb18b7a3", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "how many episodes in season 2 of fargo", "output": [["how many episodes in season 2 of fargo", "List of Fargo episodes\n\nFargo is an American dark comedy–crime drama television series created and primarily written by Noah Hawley. The show is inspired by the 1996 film of the same name written and directed by the Coen brothers, who serve as executive producers on the series. It premiered on April 15, 2014, on FX.\nIn February 2022, the series was renewed for a fifth season, which premiered on November 21, 2023.\nSeries overview\nEpisodes\nSeason 1 (2014)\nSeason 2 (2015)\nSeason 3 (2017)\nSeason 4 (2020)\nSeason 5 (2023–24)"]], "corpus": "wikipedia"}
+{"tstamp": 1723136579.0804, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723136578.5885, "finish": 1723136579.0804, "ip": "", "conv_id": "73704f6eaec94f88bfa24a7aea88fa70", "model_name": "text-embedding-3-large", "prompt": "how many episodes in season 2 of fargo", "output": [["how many episodes in season 2 of fargo", "Fargo season 2\n\nThe second season of Fargo, an American anthology black comedy–crime drama television series created by Noah Hawley, premiered on October 12, 2015, on the basic cable network FX. Its principal cast is Kirsten Dunst, Patrick Wilson, Jesse Plemons, Jean Smart, and Ted Danson. The ten-episode season's finale aired on December 14, 2015. As an anthology, each Fargo season possesses its own self-contained narrative, following a disparate set of characters in various settings in a connected shared universe."]], "corpus": "wikipedia"}